DLMM as a lossless one-shot algorithm for collaborative multi-site distributed linear mixed models

Linear mixed models are commonly used in healthcare-based association analyses for analyzing multi-site data with heterogeneous site-specific random effects. Due to regulations for protecting patients’ privacy, sensitive individual patient data (IPD) typically cannot be shared across sites. We propo...

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Detalles Bibliográficos
Autores principales: Luo, Chongliang, Islam, Md. Nazmul, Sheils, Natalie E., Buresh, John, Reps, Jenna, Schuemie, Martijn J., Ryan, Patrick B., Edmondson, Mackenzie, Duan, Rui, Tong, Jiayi, Marks-Anglin, Arielle, Bian, Jiang, Chen, Zhaoyi, Duarte-Salles, Talita, Fernández-Bertolín, Sergio, Falconer, Thomas, Kim, Chungsoo, Park, Rae Woong, Pfohl, Stephen R., Shah, Nigam H., Williams, Andrew E., Xu, Hua, Zhou, Yujia, Lautenbach, Ebbing, Doshi, Jalpa A., Werner, Rachel M., Asch, David A., Chen, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8967932/
https://www.ncbi.nlm.nih.gov/pubmed/35354802
http://dx.doi.org/10.1038/s41467-022-29160-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8967932/
https://www.ncbi.nlm.nih.gov/pubmed/35354802
http://dx.doi.org/10.1038/s41467-022-29160-4

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